18.12.2024 aktualisiert


verifiziert
Premiumkunde
100 % verfügbarData Architect, Data Engineer, Data Analytics, Data Science, Advanced Analytics, AI
Eschwege, Deutschland
Weltweit
Dipl.-Ing. (TU) NachrichtentechnikSkills
SQLAzuredata scienceData AnalyticsBig DataKIPythonQuantum Computing Machine learningMicrosoft Power BIMicrosoft FabricGenerative AI
Data, Data Architecture, Data Enginering, Analytics, Data Science, Machine Learning, Self Service BI and Visualization, AI, Machine Learning, Large Language Models, AI Architecture, AI Operationalization, Copilot Technologies, Experimental, AI and Self Service Analytics , Fusion AI/Data Science, AI Marketing Communication, AI Campaign Management, Quantum Computing, Databricks, Microsoft Fabric, Spark, Domain Know-How, Areas, IT, Sales and Marketing, Marketing, Product Management, Compliance, DSGVO, GDPR, Controlling, Production and Supply Chain, Industries, Energy, Retail, Health, Finance, Insurance, Public, Marketing, Research, PM & Coaching, Project Management, Communication, Leadership, Transformation, New Work, Behavorial Economics, Mediation, Strategy, Digitization, Data Roadmap, AI Roadmap, Azure Architecture & Capabilities, Azure Data Stack, Microsoft Fabric, Azure SQL/DWH, Azure Synapse, Azure Databricks, Azure Data Factory, Azure Pureview, Power BI, Azure AI Stack, Azure Machine Learning Studio, Power Platform, Security & Privacy, GDPR/DSGVO, Identity, Networking, Integration, Prototyping whole Solution , Infrastructure, Networking, AWS ,data, Microsoft SQL, Analysis Services, Azure SQL Data Warehouse, Oracle, SAP, IBM, MySQL, Hadoop, Redshift, Impala, Dynamics 365, Salesforce, Common Data Services, Google Analytics, Spark, SQL, Power BI, Tableau, R, Microsoft Azure machine learning, Apache Hadoop, Google Play, Apple Store, Windows Mobile, Office, SharePoint, Exchange, Office 365, Microsoft Azure, Analytics, Big Data, Open Source, Microsoft, Data integration, data modeling, IT security, Data Science, web analytics, large data, cloud, Apache Spark, Data modelling, visualization, feature engineering, Microsoft SQL Server, hybrid cloud, Azure, data storage, Splunk, data model, ERP, Power View, Excel Services, machine learning, feature extraction, NFC, Interface, Excel, social network, ecommerce, electronic payment, Cryptography, NLP, decryption, Agile methodologies, Smartcard, Quantum Computing
Sprachen
DeutschMutterspracheEnglischgutItalienischGrundkenntnisseRussischGrundkenntnisse
Projekthistorie
- Customer segmentation with Azure Machine Learning
- Prototyping AI for Data Analysis
- Data modelling and analysis with Azure Synapse and Analysis Services
- Development of Power BI Reports using different data sources (including data preparation, data modelling and visualization)
- Data preparation with Azure Data Factory
- Development of prediction and scoring models using different technologies in the Azure ecosystem
- Development of a proactive contract proposal system based on data available around the customer
- Support the move from an on-premises data warehouse to a versatile cloud analytics architecture
- Development of a strategy and roadmap for Analytics and Data Science
- Data modelling with Azure Synapse and Power BI
- Integration of different data sources and data preparation with Azure Data Factory
- Integration and further development of a scoring system
- Know-how transfer about Power BI (data loading, data modeling and visualization techniques)
- Support in building up the new business area
- Data integration, data preparation, data modeling, report design and deployment
- Coaching “Data-driven communication”
- Development of a migration roadmap from an on-premises SSAS to Microsoft Analysis Services and Azure Synapse Analytics (Azure DWH)
- Role based security and general IT security know-how transfer